ML

Data Quality

• Data Coverage
  • Qualities
  • Scope of a problem domain
• Data Cleanliness (Data Consistency)
  • Data format
  • Data Quality
  • Avoid unclear data, Mislabeled data
• Data Completeness
  • Availability of sufficient data

AI and ML models on Google Cloud

• Pre-trained APIs
  • Vision API
    • Ingest data from Cloud Storage
  • Speech-to-Text API
  • Translation API
• AutoML
  • Vertex AI
• Custom model tooling
  • Vertex AI

Big Query ML

Vertex AI

• Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case
• Support MLOps practices
• A unified framework for ML Workflows
• Components
  • AutoML
  • Deep Learning VM Images
  • Notebooks
  • Data Labeling
  • Edge Manager
  • Explainable AI
  • Feature Store
  • Model Monitoring
  • Pipelines
  • Predictions

Cloud Natural Language API

Cloud AI Hub